: Mathematical rules for assigning likelihood to specific events. Information Theory Fundamentals
While most books define mutual information as $I(X;Y) = H(X) - H(X|Y)$, Reza also derives it via the Kullback-Leibler (K-L) divergence: $I(X;Y) = \sum p(x,y) \log [p(x,y) / (p(x)p(y))]$. He then physically interprets $I(X;Y)$ as the reduction in uncertainty about the transmitter given the receiver. He famously says: "Mutual information is the rate of information transmission; it is the common coin of the communication system." An Introduction To Information Theory Fazlollah M Reza
Fazlollah M. Reza’s 1961 text, An Introduction to Information Theory , is a foundational engineering resource that bridges probability theory with practical coding, information measure, and system capacity. The work covers topics from memoryless discrete schemes to error correction, serving as an accessible guide to Shannon's information theory. Learn more about the book's contents on Google Books . An Introduction to Information Theory - Fazlollah M. Reza : Mathematical rules for assigning likelihood to specific
: Fundamental theorems for transmitting data under various physical constraints. Amazon.com Practical Resources Available Formats : The book is widely available as a Dover Books on Mathematics paperback. Prerequisites He famously says: "Mutual information is the rate